Expero Online Seminars
Contact Us

Understand the differences between supply chain visibility, traceability, and transparency. Learn what graph is and how it can create a unified view across digital and physical supply chain processes, yielding more prescriptive supply chain decision making. Use Graph + ML to improve demand forecasting and production planning, while reducing inventory and operating costs. Focus areas include, inventory, routing, predictive analytics, device & fleet management, materials, and more.

Learn how Google Cloud Bigtable, Pub/Sub, and BigQuery with JanusGraph can help to identify risk and fraud patterns in order to quickly respond. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing Google Cloud Platform products and services with JanusGraph will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph.

Learn how Google Cloud Bigtable, Pub/Sub, and BigQuery with JanusGraph will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities. Utilizing Google Cloud Platform products and services with JanusGraph will allow you to visualize the customer journey, increasing customer satisfaction by providing meaningful interactions. Watch to learn how to maximize resources with Graph and finally get an all encompassing view of your customer.

Faced with an ever increasing amount of data, the modern enterprise features the complex task of leveraging this data to extract maximum value. On the one hand, much of the value arises from a better understanding of the relationships between entities in the domain under question, a task ideally suited to the popular open source property graph database, JanusGraph. On the other hand, time series data, by its nature, drives much of this growth, whether it be pressure sensors reporting from thousands of natural gas wells to system metrics being collected by any of the many popular infrastructure monitoring solutions, or stock ticks coming in from the NYSE. Time series data is incredibly valuable but can be improved upon when the wider context is joined in through the pairing with the graph database. For this talk, we’ll propose an architecture of JanusGraph and OpenTSDB, both relying on Cloud Bigtable to tackle these classes of problems. Concrete use cases will be covered along with the benefits of running these workloads on a combined platform with Cloud Bigtable backing graph and time series storage.

Our last webinar discussed using Datastax and machine learning technologies to implement a system which predicts mechanical equipment failure with enough advanced notice to ship new equipment to a hydrocarbon production platform before failure. This webinar will explain how to perform this analysis using the Spark ecosystem. Many data scientists and organizations prefer using machine learning to custom code to keep the learning curve low and the returns high. The expert data team from Expero and DSE will show you how to build a predictive maintenance workflow in Spark so that your team can implement a similar solution. Join us for a highly technical webinar focused on the architecture and construction of a Spark machine learning predictive maintenance solution.

Small production platforms can't afford to have backup equipment sitting around unused for long periods of time. Because of this, mechanical equipment failures often cripple production for many days or weeks at a time. Using modern IOT and machine learning technologies, we can now predict mechanical failures with enough lead time to get new equipment on-site before failure to eliminate unnecessary shut-in. Long-memory time-series analysis enables companies to order pumps, generators, compressors and more days before old equipment fails. Join us for a webinar given by Expero and DSE machine learning specialists about how to enable this analysis in your company and save your organization weeks of shut-in time.

Learn how DataStax Graph Technology will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities.  Utilizing DataStax will allow you to visualize the customer journey increasing customer satisfaction by providing meaningful interactions. Join us to learn how to maximize resources with Graph and finally get an all encompassing view of your customer.

Learn how DataStax Graph Technology can help to identify risk and fraud patterns in order to quickly respond. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing DataStax will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph Database vs. traditional relational database platforms.

For the slide deck please email - info@experoinc.com

Increase delivery with real-time impact and transport analysis.

Learn how DataStax Graph Technology will improve delivery times, minimize transport risk through data analysis and increase product satisfaction. Use predictive analytics to reduce operational bottle necks and discover areas of concern affecting supply. Using DataStax allows you to increase customer satisfaction through visualization of supply and demand impacts. 

Learn how Graph Visualization Technology will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities. Utilizing Graph will allow you to visualize customer touch-points and the whole customer journey, providing more meaningful interactions and increasing customer satisfaction. Join us to learn how to maximize resources with Graph technologies and finally get an all encompassing view of your customer.

Learn how Graph Technology + Machine Learning will improve delivery times, minimize transport risk through data analysis and increase product satisfaction. Use predictive analytics to reduce operational bottle necks and discover areas of concern affecting supply. Using Graph + ML allows you to increase customer satisfaction through visualization of supply and demand impacts.

Intelligent applications to deal with fraud and money laundering are essential for modern risk management in financial services, banking and retail. However, AI projects dealing with fraud often miss out on funding because stakeholders span many organizations and need very different levels and types of information; from technical to financial evaluation, nuanced details can accelerate or stall a projects depending on how they are presented.

Learn how Graph Technology + Machine Learning will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities.  Utilizing Graph + ML will allow you to visualize the customer journey increasing customer satisfaction by providing meaningful interactions. Join us to learn how to maximize resources with Graph and finally get an all encompassing view of your customer.

Increase customer satisfaction and decrease support costs with faster response times.       

Why Graph?

Learn how Graph Technology + Machine Learning can help to identify risk and fraud patterns in order to quickly respond. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing Graph + ML will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph Database vs. traditional relational database platforms.

Amy Hodler, Analytics Program Manager at Neo4j and Scott Heath, Graph Practice Lead at Expero: This webinar will help you understand how successful financial services, banks and retailers are using graph technology and embedding intelligence to quickly identify risk and fraud patterns as they evolve. Fraudsters are now using more sophisticated and dynamic methods for credit card, money laundering and other types of fraud. Leveraging graph technology will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Hear how to maximize time and resources with graph technology vs. traditional approaches.

Steve describes a method of classifying nodes in an information network by application of a non-Euclidean convolutional neural network. The convolutional layers are kerneled to operate directly on the natural manifold of the information space, and thus produce output more accurate than analysis on information arbitrarily embedded in a Euclidean geometry. First, Steve describes the benefits of operating in a non-Euclidean geometry. He then sketches out how graph convolutional networks work. Finally, Steve demonstrates the application of this technique by predicting the credit-worthiness of applicants based on their population characteristics and their relationships to other individuals.

Ted Wilmes discusses the state of JanusGraph in the year 2018. Throughout the session he touches on where we are in the world of graph, what is new, and where JanusGraph and Apache Tinkerpop are headed.

Identify ROI and business case costs at a high level.

Increase delivery with real-time impact and transport analysis.

Learn how Graph Technology + Machine Learning will improve delivery times, minimize transport risk through data analysis and increase product satisfaction. Use predictive analytics to reduce operational bottle necks and discover areas of concern affecting supply. Using Graph + ML allows you to increase customer satisfaction through visualization of supply and demand impacts. 

Don't be in the dark when the next natural disaster happens. Visualize your data with real-time supply-chain mapping powered by Graph Technology. 

What You'll Learn

  • Source management -- Optimization
  • Materials, transport, regulation/compliance and customer optimization
  • Issue Resolution and identification -- discuss ROI and time -- Value of supply, manufacturing, transport and end product satisfaction.
  • Visualize Part impacts -- Timelines and event correlation.  View of customer journey and increasing customer satisfactions.
  • Dependencies and Workarounds - Identify how and where pinch points and concern areas exist with predictive analytics.
  • Scoring and Use of Algorithms - The ability to score and create usable information for executive dashboards from multiple sources.  Creation of scorecards and risk calculations for indicating to users what to spend time on and dive in deeper with.

Increase delivery with real-time impact and transport analysis.

Learn how DataStax Graph Technology will improve delivery times, minimize transport risk through data analysis and increase product satisfaction. Use predictive analytics to reduce operational bottle necks and discover areas of concern affecting supply. Using DataStax Graph Technology allows you to increase customer satisfaction through visualization of supply and demand impacts. 

Don't be in the dark when the next natural disaster happens. Visualize your data with real-time supply-chain mapping powered by DataStax Graph Technology. 

What You'll Learn

  • Source management -- Optimization
  • Materials, transport, regulation/compliance and customer optimization
  • Issue Resolution and identification -- discuss ROI and time -- Value of supply, manufacturing, transport and end product satisfaction
  • Visualize Part impacts -- Timelines and event correlation.  View of customer journey and increasing customer satisfactions.
  • Dependencies and Workarounds - Identify how and where pinch points and concern areas exist with predictive analytics.
  • Scoring and Use of Algorithms - The ability to score and create usable information for executive dashboards from multiple sources.  Creation of scorecards and risk calculations for indicating to users what to spend time on and dive in deeper with.

Learn how DataStax Graph Technology can help to identify risk and fraud patterns in order to quickly respond. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing DataStax Graph Technology will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph Technology vs. traditional relational database platforms.

If there are new ways to commit fraud these days, shouldn't your company have new ways to prevent it? 

What You'll Learn

  • Detection and anomaly identification - discuss ROI and time: the value of early detection.
  • Progressive Disclosure - The ability to drill in as items are presented as requiring interaction. Create the ability to allow large data viewing without overwhelming users with millions of data points.
  • Scoring and use of algorithms - The ability to score and create usable information from multiple sources.  Creation of scorecards and risk calculations for indicating to users what to spend time on and look at more closely.
  • Visual representation of risks, anomalies, hot spots and heat maps and need for human interaction. Creation of easy to identify visual screens and dashboards for key decision makers that allows for real time diagnostics.

Learn how DataStax Graph Technology will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities.  Utilizing DataStax Graph Technology will allow you to visualize the customer journey increasing customer satisfaction by providing meaningful interactions. Join us to learn how to maximize resources with Graph Technology and finally get an all encompassing view of your customer.

What You'll Learn

  • Demonstrations of Customer-360 applications
  • Technology Review: Discuss DataStax Enterprise and Graph platform stack.
  • The ROI of a positive customer journey with meaningful data-backed interactions
  • How customer journey visualization identifies and resolves customer issues, improves customer interaction time, increases customer satisfaction and provides detailed views of customer history
  • How to Identify customer behavior trends and purchasing patterns 
  • Position strategic upsells and cross-sells by correlating sales data to customer history and product categories 
  • Graph Principles: Clustering, Networks, Proximity and Progressive Disclosure -  the ability to drill in as information is presented and requiring interaction, allow large data viewing without overwhelming users with millions of data points 
  • The ability to score and create usable information from multiple sources. Construction of scorecards and risk calculations which indicate how users should prioritize their customer-facing time, and on which topics or products to dive deeper.

Stay ahead of the fast moving threat of fraud with Graph Technology.

Learn how Graph Technology can help to identify risk and fraud patterns in order to quickly respond.  Many new fraud rings use sophisticated measures for credit card and other methods of fraud.  Utilizing Graph technology will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph technology vs. traditional relational database platforms.

If there are new ways to commit fraud these days, shouldn't your company have new ways to prevent it? 

Topics for this webinar include: 

  • Fraud and associated losses - statistics and why you need to act 
  • Business case of fraud and why executives need to know
  • Current methods and technology are outdated and lagging
  • 5 methods and ways to get ramped up to fight fraud

What You'll Learn

  • Detection and anomaly identification - discuss ROI and time: the value of early detection.
  • Progressive Disclosure - The ability to drill in as items are presented as requiring interaction. Create the ability to allow large data viewing without overwhelming users with millions of data points.
  • Scoring and use of algorithms - The ability to score and create usable information from multiple sources.  Creation of scorecards and risk calculations for indicating to users what to spend time on and look at more closely.
  • Visual representation of risks, anomalies, hot spots and heat maps and need for human interaction. Creation of easy to identify visual screens and dashboards for key decision makers that allows for real time diagnostics.

Congratulations. You have identified which software products to modernize and which cloud technology to use for the upgrade. Now what? 

Watch the video to identify how to get your modernization project funded.

To get your project funded,  you must present a clear and concise business case and return on investment (ROI). This free online seminar will give you an easy-to-use playbook with detailed steps to help you create a compelling business case with useful ROI examples. 

We'll also walk you through how to evaluate your organization’s state relative to modernization. how to calculate a compelling business case ROI, and how to effectively present this information to the stakeholders in your company.

What You'll Learn:

  • Assess current state - monetize current situation
  • Assess future state - monetize value
  • Create a working ROI
  • Identify and assess stakeholder vision match
  • Identify competitive landscape
  • Compile and present

Trying to modernize monolithic legacy applications is hard:

  • Staff spend time keeping it working or engineering around IT constraints instead of building new features.
  • As the application’s components get out of date, team members are harder to hire and spend more time training.
  • The infrastructure required to support monoliths gets expensive fast, as more usage often requires more exotic database licenses and more expensive hardware.

Moving to a public or private cloud can dramatically reduce operational costs and speed up delivery of key features. But how do you get there from here? In this seminar we’ll jump into pragmatic ways to improve the way legacy applications are built and deployed as well as how to take an incremental approach to modernize those applications.

What You'll Learn:

Migrating a monolith to the cloud safely:

  • How to provision the infrastructure for your application
  • How to configure and deploy your application
  • How being in the cloud simplifies testing and accelerates deployment
  • How to buy only the hardware & software capacity you need

Utilizing SAAS products to replace legacy components:

  • Simplifying your team’s operational overhead by utilizing cloud managed services for resilience and security
  • Utilizing cloud monitoring to get real time outage alerts
  • Centralizing security & configuration management for greater agility

Updating a legacy application is a journey with many complex moving parts, however, determining if your software is worth modernizing and planning a path forward can be done relatively quickly. The key to successful software modernization (and squelching feelings of dread on the topic) is having a sound plan that addresses all aspects of modernizing an application from technology to business case to user experience. 

In this session of our client-server to cloud seminar series, we share proven methods for determining if modernizing makes sense for your application, a checklist of considerations, and a Lean process for creating a sound modernization strategy.

Scott Heath and Patrick McFadin talk about how Expero and Datastax are partnering together to solve complex problems with graph data.

Software and web developers often wear many hats, including the UX/UI hat. But some developers lack the knowledge and skills to design UIs or to collaborate effectively with UX designers and researchers. This can lead to a bad user experience, low user adoption, high support costs, unhappy customers, and the need to spend time and money refactoring. 

As UX and software development consultants who have worked with dev teams for years, we know how to bridge the knowledge gap. In this online seminar, we present 5 things your front-end and back-end developers should know to deliver a high-quality user experience. We’ll provide case studies and examples from our client projects and the work of others. 

What you'll learn: 

  • 5 things your dev team should know to deliver a high-quality UX
  • Which roles your front-end and back-end developers could and should play in UX work
  • Key UX best practices and techniques relevant to developers
  • Ways your dev team can collaborate with other disciplines to avoid building the wrong thing
  • How to provide both a great UX and great performance with large data sets
  • Which roles your front-end and back-end developers could and should play in UX work
  • Key UX best practices and techniques relevant to developers
  • Ways your dev team can collaborate with other disciplines to avoid building the wrong thing
  • How to provide both a great UX and great performance with large data sets

Companies across a variety of industries are trying to attain a holistic view of their customers.  From creating a more personalized experience, to creating more timely and relevant support, to simply marketing to them more efficiently and effectively, there are tremendous gains to be had with a 360-degree view.  

However, achieving this 360-degree view requires serious data — or more accurately, serious crunching and analyzing of data to understand customer relationships across every touchpoint and multiple business units.

Sound challenging? It was. Until graph databases.

Traditional data stores and algorithms can’t handle interactions across multiple touch points in real-time —these days your customers will not wait for your batch job to complete.  However, new graph technologies provide unique benefits for getting that all-important Customer 360 view.

What you'll learn:

  • Leverage a graph database to support your 360 project
  • Manage customers through multiple client channels and gather a complete timeline of their interactions
  • Identify actionable user behaviors
  • Create a real-time comprehensive, 360 view of your customers

Congratulations! Your data is up and running in a graph database and you have big plans for this technology. But now the system is overtaxed and not performing properly. Don't worry- the database may not be the culprit. Proper user experience and visualization techniques can greatly improve performance and dynamic data interaction.

It’s easy to get mired in the complexities of graph technology and forget that real users, mere mortals, will need to use this information to inform mission-critical tasks. In this talk, we’ll take a hands on approach to applying a user-centered strategy and leveraging the latest UI tools to rapidly create great experiences with graph data.

We’ll also take a look at how DataStax Enterprise Graph (DSE Graph), a highly scalable graph database powered by the industry’s best version of Apache Cassandra™, coupled with Expero’s deep expertise in graph and analytics, can empower users to heuristically explore and visualize complex graph data in innovative and meaningful ways.

Congratulations! Your data is up and running in a graph database and you have big plans for this technology. But now the system is overtaxed and not performing properly. Don't worry- the database may not be the culprit. Proper user experience and visualization techniques can greatly improve performance and dynamic data interaction.

It's easy to get mired in the complexities of graph technology and forget that real users, mere mortals, will need to use this information to inform mission-critical tasks. To get the value out of your graph investment, you'll need to provide an experience that enables users to explore and visualize your graph data in meaningful ways.

In this talk, we'll take a hands on approach to applying a business customer, user-centered strategy and leveraging the latest UI tools to rapidly create great experiences with graph data.

Expero's Dave Bechberger was invited to participate in an online panel focusing on DevOps and Security which was put on by Continuous Discussions (#c9d9). Continuous Discussions is a weekly online panel discussion which is sponsored by Electric Cloud and discusses a variety of topics around Agile, Continuous Delivery and DevOps with a range of different speakers.

The panel discussed the role that DevOps plays with respect to Security. This topic was broken into several different sections: Securing your CodeSecuring your Environments, and Securing your Process.

Graph databases are a new paradigm for many folks. Hear Apache TinkerPop committer Ted Wilmes introduce graph topics and map them to their well-known SQL cousins.

We are in an era of unprecedented innovation in databases. Data-intensive companies are grappling with whether the many new options — NoSQL, Key-Value, Document, Column Family, Column-Oriented — are appropriate for them. The commercial success of Facebook and LinkedIn makes graph databases a hot area of investigation. Unlike many new databases, they are not a variation on or a simplification of relational databases. Instead they require new ways of thinking and modeling data. In return they can answer truly novel questions.

What do my users want to do with Big Data? How do they want to visualize it, interact with it and manage it? How big is my data, really? How much data can a human deal with at one time, and how much data should we process at one time? How can the UX accommodate data sources that respond at different rates?

If these questions resonate with you, then check out this tag-team webinar by Expero co-principal and UX designer Lynn Pausic and Expero President and software engineer Sebastian Good.

On the user side, Lynn discusses how to envision useful, usable interface solutions for serious Big Data problems, while Sebastian tackles the technical side of Big Data’s back end.

Are you a Product Manager looking to show some early design directions to stakeholders and end-users? Are you a Developer needing a little more direction from the design team? Or a UX Designer or Researcher trying to figure out how detailed your designs need to be to communicate your intentions and get valuable feedback from users?

In this webinar, Expero highlights the major differences between static wireframes and interactive prototypes, shows examples of the design fidelity spectrum, and outlines the best ways to leverage wireframes and prototypes throughout the product design life cycle. At the end of the webinar, you’ll even experience a wireframe-v-prototype battle royale through a series of mini user tests on a product designed specifically for this session!

Ever wonder about the best way to visualize your application’s data sets? Is a tree map the way to go? Maybe a bubble chart? Are there certain visual mechanisms that lend themselves naturally to certain data types? Do your users even understand common visualizations? This webinar can help.

Expero's Lynn Pausic and Chad Huff present best practices for creating useful and usable interactive visualizations for complex data sets, starting with ascertaining what your users will do with the data. The presenters show examples of battle-tested data visualization types and help you figure out how to make sure your users get the most out of the visualizations you create.

Using UI design patterns can lead to a 50% increase in product development efficiency, and it can dramatically improve usability and user adoption. This webinar discusses 10 patterns that help users interact with data tables and navigate large data sets.